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novelai-storage
Stable Diffusion Webui
Commits
b03bc4e7
Commit
b03bc4e7
authored
Sep 13, 2022
by
AUTOMATIC1111
Committed by
GitHub
Sep 13, 2022
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Merge pull request #367 from GRMrGecko/nsfw_filter
Adds NSFW content filter option
parents
fc8acdb5
fc18e2d4
Changes
2
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2 changed files
with
36 additions
and
0 deletions
+36
-0
modules/processing.py
modules/processing.py
+35
-0
modules/shared.py
modules/shared.py
+1
-0
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modules/processing.py
View file @
b03bc4e7
...
...
@@ -19,6 +19,14 @@ import modules.face_restoration
import
modules.images
as
images
import
modules.styles
from
diffusers.pipelines.stable_diffusion.safety_checker
import
StableDiffusionSafetyChecker
from
transformers
import
AutoFeatureExtractor
# load safety model
safety_model_id
=
"CompVis/stable-diffusion-safety-checker"
safety_feature_extractor
=
None
safety_checker
=
None
# some of those options should not be changed at all because they would break the model, so I removed them from options.
opt_C
=
4
opt_f
=
8
...
...
@@ -146,6 +154,28 @@ def fix_seed(p):
p
.
subseed
=
int
(
random
.
randrange
(
4294967294
))
if
p
.
subseed
is
None
or
p
.
subseed
==
-
1
else
p
.
subseed
def
numpy_to_pil
(
images
):
"""
Convert a numpy image or a batch of images to a PIL image.
"""
if
images
.
ndim
==
3
:
images
=
images
[
None
,
...
]
images
=
(
images
*
255
)
.
round
()
.
astype
(
"uint8"
)
pil_images
=
[
Image
.
fromarray
(
image
)
for
image
in
images
]
return
pil_images
# check and replace nsfw content
def
check_safety
(
x_image
):
global
safety_feature_extractor
,
safety_checker
if
safety_feature_extractor
is
None
:
safety_feature_extractor
=
AutoFeatureExtractor
.
from_pretrained
(
safety_model_id
)
safety_checker
=
StableDiffusionSafetyChecker
.
from_pretrained
(
safety_model_id
)
safety_checker_input
=
safety_feature_extractor
(
numpy_to_pil
(
x_image
),
return_tensors
=
"pt"
)
x_checked_image
,
has_nsfw_concept
=
safety_checker
(
images
=
x_image
,
clip_input
=
safety_checker_input
.
pixel_values
)
return
x_checked_image
,
has_nsfw_concept
def
process_images
(
p
:
StableDiffusionProcessing
)
->
Processed
:
"""this is the main loop that both txt2img and img2img use; it calls func_init once inside all the scopes and func_sample once per batch"""
...
...
@@ -248,6 +278,11 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
x_samples_ddim
=
p
.
sd_model
.
decode_first_stage
(
samples_ddim
)
x_samples_ddim
=
torch
.
clamp
((
x_samples_ddim
+
1.0
)
/
2.0
,
min
=
0.0
,
max
=
1.0
)
if
opts
.
filter_nsfw
:
x_samples_ddim_numpy
=
x_samples_ddim
.
cpu
()
.
permute
(
0
,
2
,
3
,
1
)
.
numpy
()
x_checked_image
,
has_nsfw_concept
=
check_safety
(
x_samples_ddim_numpy
)
x_samples_ddim
=
torch
.
from_numpy
(
x_checked_image
)
.
permute
(
0
,
3
,
1
,
2
)
for
i
,
x_sample
in
enumerate
(
x_samples_ddim
):
x_sample
=
255.
*
np
.
moveaxis
(
x_sample
.
cpu
()
.
numpy
(),
0
,
2
)
x_sample
=
x_sample
.
astype
(
np
.
uint8
)
...
...
modules/shared.py
View file @
b03bc4e7
...
...
@@ -111,6 +111,7 @@ class Options:
"outdir_save"
:
OptionInfo
(
"log/images"
,
"Directory for saving images using the Save button"
,
component_args
=
hide_dirs
),
"samples_save"
:
OptionInfo
(
True
,
"Save indiviual samples"
),
"samples_format"
:
OptionInfo
(
'png'
,
'File format for individual samples'
),
"filter_nsfw"
:
OptionInfo
(
False
,
"Filter NSFW content"
),
"grid_save"
:
OptionInfo
(
True
,
"Save image grids"
),
"return_grid"
:
OptionInfo
(
True
,
"Show grid in results for web"
),
"grid_format"
:
OptionInfo
(
'png'
,
'File format for grids'
),
...
...
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